Chief Forward Deployed Engineer

We are looking for a Chief Forward Deployed Engineer to build AI-native solutions where LLMs and their harnesses are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing production code, and setting up evaluations and observability. You will work closely with SMEs and end users to understand where the real value lies and design the feedback loops.

Responsibilities

• Design, build, and ship AI-native systems end to end — agents, workflows, RAG, and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, and compaction.
• Build evaluation pipelines and use them to prove the system is genuinely useful.
• Design for failure in the agent loop: retries, model fallbacks, cost limits, and human-in-the-loop controls for consequential actions.
• Capture domain expertise and repeatable workflows so what works on one engagement carries to the next.
• Engage early to help shape the use case and check technical feasibility.
• Write production-grade Python for integrations, APIs, data access, and deployment.
• Work directly with SMEs and end users through interviews, UAT, and observation of real workflows; validate that the system fits how people actually work.

Requirements

• 7+ years of engineering experience, with a strong recent track record building production AI/LLM applications rather than prototypes or research only.
• Strong agent-design judgment — matching the task harness to the context, failures, and policies of the actual task rather than simply calling a model in a loop.
• Ability to work close to the client: lead discovery and feasibility conversations, work directly with SMEs and end users, and explain technical trade-offs to technical and non-technical audiences.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, Semantic Kernel, or similar, and major LLM providers including OpenAI, Anthropic, and Google Gemini.
• Expert-level Python and solid software engineering fundamentals.
• Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking, and context management.
• Proven experience evaluating generative AI quality using LLM-based evaluation, heuristics, or custom evaluation frameworks, plus observability/tracing tools such as LangSmith, Arize Phoenix, Langfuse, or similar.
• Production deployment experience on at least one major cloud platform — AWS, Azure, or GCP — with containerization and CI/CD.
• Sound judgment under ambiguity, including scoping, sequencing, and balancing speed, quality, and scope.
• English at C1 level.

Nice to Have

• Experience designing experiments, A/B testing, and iterating on AI products using real user behavior and business metrics.
• Background in NLP, Data Science, or applied ML, including moving models into production.
• Familiarity with MCP, A2A, Agent Skills, and emerging agent standards.
• Experience with enterprise AI platforms: AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry, or Gemini Enterprise.
• Exposure to AI governance, security, and compliance, including guardrails and prompt-injection prevention.
• Prior client-facing or pre-sales experience in a consulting or services context.

We Offer

• Hybrid-by-design work with the opportunity to work remotely within Poland.
• Opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career development programs, thought leadership, mentoring, soft-skills and well-being programs.
• Certifications in Anthropic, Gemini, GCP, Azure, and AWS, plus English classes.
• Stable pay.
• Participation in an Employee Stock Purchase Plan with a 15% discount.
• Benefits package including health insurance, Multisport, and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices with entertainment and relaxation zones, table tennis and football, free snacks, coffee, and more.
• Corporate, social, and well-being events.

Please Note

• Listed benefits are available to employees only.
• Contractor engagement is available; B2B cooperation terms are agreed individually.
• Only selected candidates will be contacted.